{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,3,25]],"date-time":"2025-03-25T18:46:01Z","timestamp":1742928361428,"version":"3.40.3"},"publisher-location":"Berlin, Heidelberg","reference-count":23,"publisher":"Springer Berlin Heidelberg","isbn-type":[{"type":"print","value":"9783540404941"},{"type":"electronic","value":"9783540450627"}],"license":[{"start":{"date-parts":[[2003,1,1]],"date-time":"2003-01-01T00:00:00Z","timestamp":1041379200000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/www.springernature.com\/gp\/researchers\/text-and-data-mining"},{"start":{"date-parts":[[2003,1,1]],"date-time":"2003-01-01T00:00:00Z","timestamp":1041379200000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/www.springernature.com\/gp\/researchers\/text-and-data-mining"}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2003]]},"DOI":"10.1007\/978-3-540-45062-7_11","type":"book-chapter","created":{"date-parts":[[2010,9,4]],"date-time":"2010-09-04T02:14:10Z","timestamp":1283566450000},"page":"137-148","source":"Crossref","is-referenced-by-count":2,"title":["Dynamic Importance Sampling Computation in Bayesian Networks"],"prefix":"10.1007","author":[{"given":"Seraf\u00edn","family":"Moral","sequence":"first","affiliation":[]},{"given":"Antonio","family":"Salmer\u00f3n","sequence":"additional","affiliation":[]}],"member":"297","reference":[{"key":"11_CR1","doi-asserted-by":"publisher","first-page":"55","DOI":"10.1016\/0888-613X(95)00114-V","volume":"14","author":"R.R. Bouckaert","year":"1996","unstructured":"Bouckaert, R.R., Castillo, E., Guti\u00e9rrez, J.M.: A modified simulation scheme for inference in Bayesian networks. Int. Jnl. of Approximate Reasoning\u00a014, 55\u201380 (1996)","journal-title":"Int. Jnl. of Approximate Reasoning"},{"key":"11_CR2","unstructured":"Cano, A., Moral, S.: Propagaci\u00f3n exacta y aproximada con \u00e1rboles de probabilidad. In: Actas de la VII Conferencia de la Asociaci\u00f3n Espa\u00f1ola para la Inteligencia Artificial, pp. 635\u2013644 (1997)"},{"key":"11_CR3","doi-asserted-by":"publisher","first-page":"1027","DOI":"10.1002\/1098-111X(200011)15:11<1027::AID-INT4>3.0.CO;2-#","volume":"15","author":"A. Cano","year":"2000","unstructured":"Cano, A., Moral, S., Salmer\u00f3n, A.: Penniless propagation in join trees. Int. Jnl. of Intelligent Systems\u00a015, 1027\u20131059 (2000)","journal-title":"Int. Jnl. of Intelligent Systems"},{"key":"11_CR4","doi-asserted-by":"publisher","first-page":"175","DOI":"10.1002\/net.10024","volume":"39","author":"A. Cano","year":"2002","unstructured":"Cano, A., Moral, S., Salmer\u00f3n, A.: Lazy evaluation in penniless propagation over join trees. Networks\u00a039, 175\u2013185 (2002)","journal-title":"Networks"},{"key":"11_CR5","doi-asserted-by":"publisher","first-page":"193","DOI":"10.1002\/int.10083","volume":"18","author":"A. Cano","year":"2003","unstructured":"Cano, A., Moral, S., Salmer\u00f3n, A.: Novel strategies to approximate probability trees in penniless propagation. Int. Jnl. of Intelligent Systems\u00a018, 193\u2013203 (2003)","journal-title":"Int. Jnl. of Intelligent Systems"},{"key":"11_CR6","doi-asserted-by":"crossref","first-page":"155","DOI":"10.1613\/jair.764","volume":"13","author":"J. Cheng","year":"2000","unstructured":"Cheng, J., Druzdzel, M.J.: AIS-BN: An adaptive importance sampling algorithm for evidential reasoning in large Bayesian networks. Jnl. of Artificial Intelligence Research\u00a013, 155\u2013188 (2000)","journal-title":"Jnl of Artificial Intelligence Research"},{"key":"11_CR7","doi-asserted-by":"publisher","first-page":"141","DOI":"10.1016\/0004-3702(93)90036-B","volume":"60","author":"P. Dagum","year":"1993","unstructured":"Dagum, P., Luby, M.: Approximating probabilistic inference in Bayesian belief networks is NP-hard. Artificial Intelligence\u00a060, 141\u2013153 (1993)","journal-title":"Artificial Intelligence"},{"key":"11_CR8","doi-asserted-by":"publisher","first-page":"1","DOI":"10.1016\/S0004-3702(97)00013-1","volume":"93","author":"P. Dagum","year":"1997","unstructured":"Dagum, P., Luby, M.: An optimal approximation algorithm for Bayesian inference. Artificial Intelligence\u00a093, 1\u201327 (1997)","journal-title":"Artificial Intelligence"},{"key":"11_CR9","unstructured":"Consortium, E.: Elvira: An environment for creating and using probabilistic graphical models. In: G\u00e1mez, J.A., Salmer\u00f3n, A. (eds.) Proceedings of the First European Workshop on Probabilistic Graphical Models, pp. 222\u2013230 (2002)"},{"key":"11_CR10","doi-asserted-by":"crossref","first-page":"209","DOI":"10.1016\/B978-0-444-88738-2.50023-3","volume-title":"Uncertainty in Artificial Intelligence","author":"R. Fung","year":"1990","unstructured":"Fung, R., Chang, K.C.: Weighting and integrating evidence for stochastic simulation in Bayesian networks. In: Henrion, M., Shachter, R.D., Kanal, L.N., Lemmer, J.F. (eds.) Uncertainty in Artificial Intelligence, vol.\u00a05, pp. 209\u2013220. North-Holland, Amsterdam (1990)"},{"key":"11_CR11","doi-asserted-by":"publisher","first-page":"53","DOI":"10.1016\/S0888-613X(97)10004-4","volume":"18","author":"L.D. Hern\u00e1ndez","year":"1998","unstructured":"Hern\u00e1ndez, L.D., Moral, S., Salmer\u00f3n, A.: A Monte Carlo algorithm for probabilistic propagation in belief networks based on importance sampling and stratified simulation techniques. Int. Jnl. of Approximate Reasoning\u00a018, 53\u201391 (1998)","journal-title":"Int. Jnl. of Approximate Reasoning"},{"key":"11_CR12","doi-asserted-by":"publisher","first-page":"647","DOI":"10.1006\/ijhc.1995.1029","volume":"42","author":"C.S. Jensen","year":"1995","unstructured":"Jensen, C.S., Kong, A., Kj\u00e6rulff, U.: Blocking Gibbs sampling in very large probabilistic expert systems. Int. Jnl. of Human-Computer Studies\u00a042, 647\u2013666 (1995)","journal-title":"Int. Jnl. of Human-Computer Studies"},{"key":"11_CR13","first-page":"374","volume-title":"Proc. of the 10th Conference on Uncertainty in Artificial Intelligence","author":"U. Kj\u00e6rulff","year":"1994","unstructured":"Kj\u00e6rulff, U.: Reduction of computational complexity in Bayesian networks through removal of weak dependencies. In: Proc. of the 10th Conference on Uncertainty in Artificial Intelligence, pp. 374\u2013382. Morgan Kaufmann, San Francisco (1994)"},{"key":"11_CR14","doi-asserted-by":"crossref","first-page":"157","DOI":"10.1111\/j.2517-6161.1988.tb01721.x","volume":"50","author":"S.L. Lauritzen","year":"1988","unstructured":"Lauritzen, S.L., Spiegelhalter, D.J.: Local computations with probabilities on graphical structures and their application to expert systems. Jnl. of the Royal Statistical Society, Series B\u00a050, 157\u2013224 (1988)","journal-title":"Jnl. of the Royal Statistical Society, Series B"},{"key":"11_CR15","doi-asserted-by":"publisher","first-page":"247","DOI":"10.1016\/0004-3702(87)90012-9","volume":"32","author":"J. Pearl","year":"1987","unstructured":"Pearl, J.: Evidential reasoning using stochastic simulation of causal models. Artificial Intelligence\u00a032, 247\u2013257 (1987)","journal-title":"Artificial Intelligence"},{"key":"11_CR16","doi-asserted-by":"publisher","first-page":"69","DOI":"10.1016\/S0004-3702(96)00022-7","volume":"88","author":"D. Poole","year":"1996","unstructured":"Poole, D.: Probabilistic conflicts in a search algorithm for estimating posterior probabilities in bayesian networks. Artificial Intelligence\u00a088, 69\u2013100 (1996)","journal-title":"Artificial Intelligence"},{"key":"11_CR17","doi-asserted-by":"publisher","DOI":"10.1002\/9780470316511","volume-title":"Simulation and the Monte Carlo Method","author":"R.Y. Rubinstein","year":"1981","unstructured":"Rubinstein, R.Y.: Simulation and the Monte Carlo Method. Wiley, New York (1981)"},{"key":"11_CR18","doi-asserted-by":"publisher","first-page":"387","DOI":"10.1016\/S0167-9473(99)00110-3","volume":"34","author":"A. Salmer\u00f3n","year":"2000","unstructured":"Salmer\u00f3n, A., Cano, A., Moral, S.: Importance sampling in Bayesian networks using probability trees. Comput. Statistics and Data Analysis\u00a034, 387\u2013413 (2000)","journal-title":"Comput. Statistics and Data Analysis"},{"key":"11_CR19","doi-asserted-by":"publisher","first-page":"168","DOI":"10.1007\/3-540-44652-4_16","volume-title":"Symbolic and Quantitative Approaches to Reasoning with Uncertainty","author":"A. Salmer\u00f3n","year":"2001","unstructured":"Salmer\u00f3n, A., Moral, S.: Importance sampling in Bayesian networks using antithetic variables. In: Benferhat, S., Besnard, P. (eds.) Symbolic and Quantitative Approaches to Reasoning with Uncertainty, pp. 168\u2013179. Springer, Heidelberg (2001)"},{"key":"11_CR20","doi-asserted-by":"crossref","unstructured":"Santos, E., Shimony, S.E.: Belief updating by enumerating high-probability independence-based assignments. In: Proceedings of the 10th Conference on Uncertainty in Artificial Intelligence, pp. 506\u2013513 (1994)","DOI":"10.1016\/B978-1-55860-332-5.50069-9"},{"key":"11_CR21","doi-asserted-by":"publisher","first-page":"191","DOI":"10.1016\/S0888-613X(97)00012-1","volume":"17","author":"E. Santos","year":"1997","unstructured":"Santos, E., Shimony, S.E., Williams, E.: Hybrid algorithms for approximate belief updating in Bayes nets. Int. Jnl. of Approximate Reasoning\u00a017, 191\u2013216 (1997)","journal-title":"Int. Jnl. of Approximate Reasoning"},{"key":"11_CR22","doi-asserted-by":"crossref","first-page":"221","DOI":"10.1016\/B978-0-444-88738-2.50024-5","volume-title":"Uncertainty in Artificial Intelligen ce","author":"R.D. Shachter","year":"1990","unstructured":"Shachter, R.D., Peot, M.A.: Simulation approaches to general probabilistic inference on belief networks. In: Henrion, M., Shachter, R.D., Kanal, L.N., Lemmer, J.F. (eds.) Uncertainty in Artificial Intelligence, vol.\u00a05, pp. 221\u2013231. North Holland, Amsterdam (1990)"},{"key":"11_CR23","doi-asserted-by":"crossref","first-page":"301","DOI":"10.1613\/jair.305","volume":"5","author":"N.L. Zhang","year":"1996","unstructured":"Zhang, N.L., Poole, D.: Exploiting causal independence in Bayesian network inference. Jnl. of Artificial Intelligence Research\u00a05, 301\u2013328 (1996)","journal-title":"Jnl. of Artificial Intelligence Research"}],"container-title":["Lecture Notes in Computer Science","Symbolic and Quantitative Approaches to Reasoning with Uncertainty"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/link.springer.com\/content\/pdf\/10.1007\/978-3-540-45062-7_11","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,2,25]],"date-time":"2025-02-25T14:36:00Z","timestamp":1740494160000},"score":1,"resource":{"primary":{"URL":"https:\/\/link.springer.com\/10.1007\/978-3-540-45062-7_11"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2003]]},"ISBN":["9783540404941","9783540450627"],"references-count":23,"URL":"https:\/\/doi.org\/10.1007\/978-3-540-45062-7_11","relation":{},"ISSN":["0302-9743","1611-3349"],"issn-type":[{"type":"print","value":"0302-9743"},{"type":"electronic","value":"1611-3349"}],"subject":[],"published":{"date-parts":[[2003]]}}}